The coronavirus disease 2019 (COVID-19) pandemic is challenging healthcare systems worldwide. The prediction of disease prognosis has a critical role in confronting the burden of COVID-19. We aimed to investigate the feasibility of predicting COVID-19 patient outcomes and disease severity based on clinical and hematological parameters using machine learning techniques.
View Article and Find Full Text PDFIntroduction: In Saudi Arabia, limited studies have evaluated factors including epidemiologic, clinical, and laboratory findings that are associated with COVID-19 disease. The aim of this paper was to identify laboratory parameters used in King Abdulaziz University Hospital which show an association with disease severity and patient outcome in the form of mortality.
Methods: Age, gender, medical history, and laboratory parameters were all retrospectively assessed concerning disease severity and disease outcome in a total of 111 COVID-19 patients at King Abdulaziz University Hospital between July 2020 and August 2020.
Background: Novel SARS-CoV-2 (COVID-19) virus has rapidly spread worldwide and was declared a pandemic, making identifying and prioritizing individuals most at risk a critical challenge. The literature describes an association between blood groups and the susceptibility to various viral infections and their severity. Knowing if a specific blood group has more susceptibility to COVID-19 may help improve understanding the pathogenesis and severity of the disease.
View Article and Find Full Text PDFThe purpose of this systematic review was to describe the characteristics of clinical trials that focused on COVID-19 patients with cytokine release syndrome (CRS) and the variability in CRS definitions. Two authors independently searched three clinical trial registries and included interventional clinical trials on COVID-19 hospitalized patients that required at least one elevated inflammatory biomarker. Relevant data, including the type and cutoff of the measured biomarker, oxygen/respiratory criteria, fever, radiologic criteria, and medications, were summarized.
View Article and Find Full Text PDFBackground: Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2), is associated with significant morbidity and mortality. The clinical features of COVID-19 were mentioned in previous studies. However, risk factors for COVID-19 are not fully recognized.
View Article and Find Full Text PDFBackground: The COVID-19 global pandemic caused by severe acute respiratory syndrome coronavirus 2 infection, warranted attention for whether it has unique manifestations in children. Children tend to develop less severe disease with a small percentage present with clinical manifestations of paediatric multisystem inflammatory syndrome and have poor prognosis. We studied the characteristics of COVID-19 in children requiring hospitalisation in the Kingdom of Saudi Arabia and assessed the clinical presentation and the risk factors for mortality, morbidity, and paediatric intensive care (PICU) admission.
View Article and Find Full Text PDFObjectives: To investigate the potential efficacy of Nigella sativa (NS) oil supplementation on the outcomes of patients with mild Coronavirus Disease 2019 (COVID-19).
Trial Design: Prospective, two-arm, parallel-group, randomised (1:1 allocation ratio), open-label, controlled, exploratory phase II clinical trial of oral NS oil in patients with mild COVID-19.
Participants: Inclusion Criteria: - Patients with mild COVID19 (defined as upper respiratory tract infection symptoms in the absence of clinical or radiological signs of pneumonia).
Background: Brucellosis is a zoonotic disease caused by spp. It can be either uncomplicated or complicated when it disseminates to other organs. Treatment for brucellosis involves a combination of at least two antibiotics, or more in complicated brucellosis.
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